About this document
Cobweb Algorithm in Conceptual Clustering by Hamza Jutt is a document available to read on EtoBox.
Cobweb is an incremental conceptual clustering algorithm that builds a classification tree by adding examples one at a time. It uses category utility as a heuristic measure to determine whether to classify an example into an existing class, create a new class, or modify the tree structure through merging or splitting nodes. The algorithm aims to maximize intra-class similarity while maximizing inter-class dissimilarity at each step.
- Author
- Hamza Jutt
- Language
- EN